HHI-Assist: A Dataset and Benchmark of Human-Human Interaction in Physical Assistance Scenario

The increasing labor shortage and aging population underline the need for assistive robots to support human care recipients. To enable safe and responsive assistance, robots require accurate human motion prediction in physical interaction scenarios. However, this remains a challenging task due to th...

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Vydané v:	IEEE robotics and automation letters Ročník 10; číslo 9; s. 8746 - 8753
Hlavní autori:	Saadatnejad, Saeed, Hosseininejad, Reyhaneh, Barreiros, Jose, Tsui, Katherine M., Alahi, Alexandre
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 01.09.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Data sets for robot learning Datasets Diffusion models Dynamics Human motion Human-robot interaction intention recognition Motion capture Noise reduction physical human-robot interaction Predictive models Receivers Robot dynamics Robots Service robots Skeleton Transformers
ISSN:	2377-3766, 2377-3766
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